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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao TrAC Trends in Analy...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
TrAC Trends in Analytical Chemistry
Article . 2005 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Biosensing in high-performance chemical separations

Authors: Marek Trojanowicz; Małgorzata Szewczyńska;

Biosensing in high-performance chemical separations

Abstract

The appropriate detector and effective procedure of sample pretreatment enabling the elimination of matrix effects in analysis of complex samples are significant elements of each high-performance separation method of analysis. The application of biosensors in high-performance liquid chromatography (HPLC) and capillary electrophoresis (CE) could improve detection and, in many cases, allows detection of solutes otherwise undetectable by common method. For this purpose, a homogeneous derivatization can be employed, involving flow-through reactors with immobilized biomolecules or integrated enzymatic sensors or immunosensors. In gas chromatography (GC), two areas where biosensing is employed are olfactometry and antennography. In CE, numerous applications have been developed using on-line immunoassay and detection with single cells.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Average
Top 10%
Top 10%
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